most citedInternVideo: General Video Foundation Models via Generative and Discriminative Learning

93 citations · 107 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV202293 cited

InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Yi Wang, Kunchang Li, Yizhuo Li +14

The foundation models have recently shown excellent performance on a variety of downstream tasks in computer vision. However, most existing vision foundation models simply focus on…

cs.CV2022

Exploring adaptation of VideoMAE for Audio-Visual Diarization & Social @ Ego4d Looking at me Challenge

Yinan He, Guo Chen

In this report, we present the transferring pretrained video mask autoencoders(VideoMAE) to egocentric tasks for Ego4d Looking at me Challenge. VideoMAE is the data-efficient pretr…

cs.CV202214 cited

InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges

Guo Chen, Sen Xing, Zhe Chen +18

In this report, we present our champion solutions to five tracks at Ego4D challenge. We leverage our developed InternVideo, a video foundation model, for five Ego4D tasks, includin…

cs.CV2022

Exploring State Change Capture of Heterogeneous Backbones @ Ego4D Hands and Objects Challenge 2022

Yin-Dong Zheng, Guo Chen, Jiahao Wang +2

Capturing the state changes of interacting objects is a key technology for understanding human-object interactions. This technical report describes our method using heterogeneous b…

cs.SD2022

Exploring Detection-based Method For Speaker Diarization @ Ego4D Audio-only Diarization Challenge 2022

Jiahao Wang, Guo Chen, Yin-Dong Zheng +1

We provide the technical report for Ego4D audio-only diarization challenge in ECCV 2022. Speaker diarization takes the audio streams as input and outputs the homogeneous segments a…